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2020 – today
- 2024
[c72]Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan:
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis. EACL (1) 2024: 2734-2752- [i46]Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown:
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR abs/2402.18479 (2024) - [i45]Robert Vacareanu, Anurag Pratik, Evangelia Spiliopoulou, Zheng Qi, Giovanni Paolini, Neha Anna John, Jie Ma, Yassine Benajiba, Miguel Ballesteros:
General Purpose Verification for Chain of Thought Prompting. CoRR abs/2405.00204 (2024) - 2023
- [c71]Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros:
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. ACL (Findings) 2023: 7499-7508 - [c70]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. ACL (1) 2023: 8953-8967 - [c69]Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba:
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. EACL (Findings) 2023: 1853-1866 - [c68]Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros:
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. EACL 2023: 2873-2890 - [c67]Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros:
Taxonomy Expansion for Named Entity Recognition. EMNLP 2023: 6895-6906 - [c66]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. EMNLP 2023: 10260-10280 - [c65]Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. WASSA@ACL 2023: 19-27 - [i44]Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros:
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. CoRR abs/2302.12297 (2023) - [i43]Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba:
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. CoRR abs/2303.11660 (2023) - [i42]Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth:
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR abs/2305.11242 (2023) - [i41]Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan:
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment. CoRR abs/2305.11979 (2023) - [i40]Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros:
Taxonomy Expansion for Named Entity Recognition. CoRR abs/2305.13191 (2023) - [i39]Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth:
Characterizing and Measuring Linguistic Dataset Drift. CoRR abs/2305.17127 (2023) - 2022
- [c64]Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth:
Label Semantics for Few Shot Named Entity Recognition. ACL (Findings) 2022: 1956-1971 - [c63]Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown:
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation. COLING 2022: 5882-5895 - [c62]Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis:
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. NAACL-HLT 2022: 2542-2550 - [i38]Jie Ma, Miguel Ballesteros, Srikanth Doss, Rishita Anubhai, Sunil Mallya, Yaser Al-Onaizan, Dan Roth:
Label Semantics for Few Shot Named Entity Recognition. CoRR abs/2203.08985 (2022) - [i37]Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis:
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning. CoRR abs/2204.11117 (2022) - [i36]Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros:
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. CoRR abs/2210.05613 (2022) - [i35]Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth:
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis. CoRR abs/2210.06629 (2022) - [i34]Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen R. McKeown:
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection. CoRR abs/2211.04903 (2022) - 2021
- [c61]Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner:
On the evolution of syntactic information encoded by BERT's contextualized representations. EACL 2021: 2243-2258 - [c60]Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown:
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. EACL 2021: 2330-2340 - [c59]Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner:
How much pretraining data do language models need to learn syntax? EMNLP (1) 2021: 1571-1582 - [c58]Emily Allaway, Shuai Wang, Miguel Ballesteros:
Sequential Cross-Document Coreference Resolution. EMNLP (1) 2021: 4659-4671 - [c57]Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown:
A Bag of Tricks for Dialogue Summarization. EMNLP (1) 2021: 8014-8022 - [c56]Yogarshi Vyas, Miguel Ballesteros:
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. NAACL-HLT 2021: 834-844 - [i33]Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown:
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. CoRR abs/2101.11059 (2021) - [i32]Laura Pérez-Mayos, Roberto Carlini, Miguel Ballesteros, Leo Wanner:
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations. CoRR abs/2101.11492 (2021) - [i31]Emily Allaway, Shuai Wang, Miguel Ballesteros:
Sequential Cross-Document Coreference Resolution. CoRR abs/2104.08413 (2021) - [i30]Laura Pérez-Mayos, Miguel Ballesteros, Leo Wanner:
How much pretraining data do language models need to learn syntax? CoRR abs/2109.03160 (2021) - [i29]Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown:
A Bag of Tricks for Dialogue Summarization. CoRR abs/2109.08232 (2021) - 2020
- [c55]Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian:
Transition-based Parsing with Stack-Transformers. EMNLP (Findings) 2020: 1001-1007 - [c54]Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan:
Resource-Enhanced Neural Model for Event Argument Extraction. EMNLP (Findings) 2020: 3554-3559 - [c53]Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros:
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. EMNLP (1) 2020: 4640-4652 - [c52]Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan:
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. EMNLP (1) 2020: 5412-5417 - [c51]Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan:
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. EMNLP (1) 2020: 7927-7934 - [i28]Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan:
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. CoRR abs/2004.04295 (2020) - [i27]Jie Ma, Shuai Wang, Rishita Anubhai, Miguel Ballesteros, Yaser Al-Onaizan:
Resource-Enhanced Neural Model for Event Argument Extraction. CoRR abs/2010.03022 (2020) - [i26]Ethan Wilcox, Peng Qian, Richard Futrell, Ryosuke Kohita, Roger Levy, Miguel Ballesteros:
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models. CoRR abs/2010.05725 (2020) - [i25]Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, Radu Florian:
Transition-based Parsing with Stack-Transformers. CoRR abs/2010.10669 (2020) - [i24]Yogarshi Vyas, Miguel Ballesteros:
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. CoRR abs/2010.11333 (2020) - [i23]Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan:
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging. CoRR abs/2010.14042 (2020)
2010 – 2019
- 2019
- [c50]Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros:
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. ACL (1) 2019: 4586-4592 - [c49]Richard Futrell, Ethan Wilcox, Takashi Morita
, Peng Qian, Miguel Ballesteros, Roger Levy:
Neural language models as psycholinguistic subjects: Representations of syntactic state. NAACL-HLT (1) 2019: 32-42 - [c48]Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. NAACL-HLT (1) 2019: 1566-1576 - [c47]Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy:
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. NAACL-HLT (1) 2019: 3302-3312 - [i22]Miryam de Lhoneux, Miguel Ballesteros, Joakim Nivre:
Recursive Subtree Composition in LSTM-Based Dependency Parsing. CoRR abs/1902.09781 (2019) - [i21]Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy:
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies. CoRR abs/1903.00943 (2019) - [i20]Richard Futrell, Ethan Wilcox, Takashi Morita, Peng Qian, Miguel Ballesteros, Roger Levy:
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State. CoRR abs/1903.03260 (2019) - [i19]Tahira Naseem, Abhishek Shah, Hui Wan, Radu Florian, Salim Roukos, Miguel Ballesteros:
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning. CoRR abs/1905.13370 (2019) - 2018
- [j14]Eliyahu Kiperwasser, Miguel Ballesteros:
Scheduled Multi-Task Learning: From Syntax to Translation. Trans. Assoc. Comput. Linguistics 6: 225-240 (2018) - [c46]Graeme W. Blackwood, Miguel Ballesteros, Todd Ward:
Multilingual Neural Machine Translation with Task-Specific Attention. COLING 2018: 3112-3122 - [c45]Hui Wan, Tahira Naseem, Young-Suk Lee, Vittorio Castelli, Miguel Ballesteros:
IBM Research at the CoNLL 2018 Shared Task on Multilingual Parsing. CoNLL Shared Task (2) 2018: 92-102 - [c44]Jerry Quinn, Miguel Ballesteros:
Pieces of Eight: 8-bit Neural Machine Translation. NAACL-HLT (3) 2018: 114-120 - [c43]Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion:
Multimodal Emoji Prediction. NAACL-HLT (2) 2018: 679-686 - [c42]Francesco Barbieri, José Camacho-Collados, Francesco Ronzano, Luis Espinosa Anke, Miguel Ballesteros, Valerio Basile, Viviana Patti, Horacio Saggion:
SemEval 2018 Task 2: Multilingual Emoji Prediction. SemEval@NAACL-HLT 2018: 24-33 - [i18]Francesco Barbieri, Miguel Ballesteros, Francesco Ronzano, Horacio Saggion:
Multimodal Emoji Prediction. CoRR abs/1803.02392 (2018) - [i17]Jerry Quinn, Miguel Ballesteros:
Pieces of Eight: 8-bit Neural Machine Translation. CoRR abs/1804.05038 (2018) - [i16]Eliyahu Kiperwasser, Miguel Ballesteros:
Scheduled Multi-Task Learning: From Syntax to Translation. CoRR abs/1804.08915 (2018) - [i15]Graeme W. Blackwood, Miguel Ballesteros, Todd Ward:
Multilingual Neural Machine Translation with Task-Specific Attention. CoRR abs/1806.03280 (2018) - 2017
- [j13]Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith:
Greedy Transition-Based Dependency Parsing with Stack LSTMs. Comput. Linguistics 43(2): 311-347 (2017) - [c41]Francesco Barbieri, Luis Espinosa Anke, Miguel Ballesteros, Juan Soler Company, Horacio Saggion:
Towards the Understanding of Gaming Audiences by Modeling Twitch Emotes. NUT@EMNLP 2017: 11-20 - [c40]Francesco Barbieri, Miguel Ballesteros, Horacio Saggion:
Are Emojis Predictable? EACL (2) 2017: 105-111 - [c39]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) 2017: 1249-1258 - [c38]Miguel Ballesteros, Yaser Al-Onaizan:
AMR Parsing using Stack-LSTMs. EMNLP 2017: 1269-1275 - [c37]Miguel Ballesteros, Xavier Carreras:
Arc-Standard Spinal Parsing with Stack-LSTMs. IWPT 2017: 115-121 - [i14]Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin:
DyNet: The Dynamic Neural Network Toolkit. CoRR abs/1701.03980 (2017) - [i13]Francesco Barbieri, Miguel Ballesteros, Horacio Saggion:
Are Emojis Predictable? CoRR abs/1702.07285 (2017) - [i12]Miguel Ballesteros, Yaser Al-Onaizan:
AMR Parsing using Stack-LSTMs. CoRR abs/1707.07755 (2017) - [i11]Miguel Ballesteros, Xavier Carreras:
Arc-Standard Spinal Parsing with Stack-LSTMs. CoRR abs/1709.00489 (2017) - 2016
- [j12]Miguel Ballesteros, Joakim Nivre:
MaltOptimizer: Fast and effective parser optimization. Nat. Lang. Eng. 22(2): 187-213 (2016) - [j11]Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner:
Data-driven deep-syntactic dependency parsing. Nat. Lang. Eng. 22(6): 939-974 (2016) - [j10]Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Many Languages, One Parser. Trans. Assoc. Comput. Linguistics 4: 431-444 (2016) - [c36]Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner:
Towards Multilingual Natural Language Generation Within Abstractive Summarization. CCIA 2016: 309-314 - [c35]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoNLL 2016: 187-197 - [c34]Simon Mille, Miguel Ballesteros, Alicia Burga, Gerard Casamayor, Leo Wanner:
Multilingual Natural Language Generation within Abstractive Summarization. MMDA@ECAI 2016: 33-38 - [c33]Miguel Ballesteros, Leo Wanner:
A Neural Network Architecture for Multilingual Punctuation Generation. EMNLP 2016: 1048-1053 - [c32]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. EMNLP 2016: 1744-1753 - [c31]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack LSTM Parser. EMNLP 2016: 2005-2010 - [c30]Jacob Buckman, Miguel Ballesteros, Chris Dyer:
Transition-Based Dependency Parsing with Heuristic Backtracking. EMNLP 2016: 2313-2318 - [c29]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. HLT-NAACL 2016: 199-209 - [c28]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. HLT-NAACL 2016: 260-270 - [c27]Luz Rello, Miguel Ballesteros, Abdullah X. Ali, Miquel Serra, Daniela Alarcón Sánchez, Jeffrey P. Bigham:
Dytective: diagnosing risk of dyslexia with a game. PervasiveHealth 2016: 89-96 - [i10]Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
One Parser, Many Languages. CoRR abs/1602.01595 (2016) - [i9]Chris Dyer, Adhiguna Kuncoro, Miguel Ballesteros, Noah A. Smith:
Recurrent Neural Network Grammars. CoRR abs/1602.07776 (2016) - [i8]Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, Chris Dyer:
Neural Architectures for Named Entity Recognition. CoRR abs/1603.01360 (2016) - [i7]Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith:
Training with Exploration Improves a Greedy Stack-LSTM Parser. CoRR abs/1603.03793 (2016) - [i6]Bernd Bohnet, Miguel Ballesteros, Ryan T. McDonald, Joakim Nivre:
Static and Dynamic Feature Selection in Morphosyntactic Analyzers. CoRR abs/1603.06503 (2016) - [i5]Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs. CoRR abs/1606.08954 (2016) - [i4]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Noah A. Smith:
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser. CoRR abs/1609.07561 (2016) - [i3]Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith:
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR abs/1611.05774 (2016) - 2015
- [c26]Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. ACL (1) 2015: 334-343 - [c25]Luz Rello, Miguel Ballesteros, Jeffrey P. Bigham:
A Spellchecker for Dyslexia. ASSETS 2015: 39-47 - [c24]Miguel Ballesteros, Xavier Carreras:
Transition-based Spinal Parsing. CoNLL 2015: 289-299 - [c23]Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs. EMNLP 2015: 349-359 - [c22]Juan Soler Company, Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner:
Visualizing Deep-Syntactic Parser Output. HLT-NAACL 2015: 56-60 - [c21]Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner:
Data-driven sentence generation with non-isomorphic trees. HLT-NAACL 2015: 387-397 - [c20]Luz Rello, Miguel Ballesteros:
Detecting readers with dyslexia using machine learning with eye tracking measures. W4A 2015: 16:1-16:8 - [i2]Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith:
Transition-Based Dependency Parsing with Stack Long Short-Term Memory. CoRR abs/1505.08075 (2015) - [i1]Miguel Ballesteros, Chris Dyer, Noah A. Smith:
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs. CoRR abs/1508.00657 (2015) - 2014
- [j9]Isabel Ortiz, Miguel Ballesteros, Yue Zhang:
ViZPar: A GUI for ZPar with Manual Feature Selection. Proces. del Leng. Natural 53: 181-184 (2014) - [c19]Miguel Ballesteros, Bernd Bohnet:
Automatic Feature Selection for Agenda-Based Dependency Parsing. COLING 2014: 794-805 - [c18]Miguel Ballesteros, Bernd Bohnet, Simon Mille, Leo Wanner:
Deep-Syntactic Parsing. COLING 2014: 1402-1413 - [c17]Miguel Ballesteros, Simon Mille, Leo Wanner:
Classifiers for data-driven deep sentence generation. INLG 2014: 108-112 - 2013
- [j8]Miguel Ballesteros, Joakim Nivre:
Going to the Roots of Dependency Parsing. Comput. Linguistics 39(1): 5-13 (2013) - [j7]Behrouz Bokharaeian, Alberto Díaz, Miguel Ballesteros:
Extracting Drug-Drug interaction from text using negation features. Proces. del Leng. Natural 51: 49-56 (2013) - [j6]Miguel Ballesteros:
Exploring Automatic Feature Selection for Transition-Based Dependency Parsing. Proces. del Leng. Natural 51: 119-126 (2013) - [c16]Miguel Ballesteros:
Effective Morphological Feature Selection with MaltOptimizer at the SPMRL 2013 Shared Task. SPMRL@EMNLP 2013: 63-70 - [c15]Miguel Ballesteros, Simon Mille, Alicia Burga:
Exploring Morphosyntactic Annotation over a Spanish Corpus for Dependency Parsing. DepLing 2013: 13-22 - [c14]Miguel Ballesteros, Roberto Carlini:
MaltDiver: A Transition-Based Parser Visualizer. IJCNLP 2013: 25-28 - [c13]Muntsa Padró, Miguel Ballesteros, Héctor Martínez Alonso, Bernd Bohnet:
Finding Dependency Parsing Limits over a Large Spanish Corpus. IJCNLP 2013: 942-946 - 2012
- [j5]Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás:
Are the existing training corpora unnecessarily large? Proces. del Leng. Natural 48: 21-27 (2012) - [j4]Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás:
Analyzing the CoNLL-X Shared Task from a Sentence Accuracy Perspective. Proces. del Leng. Natural 48: 29-34 (2012) - [j3]Miguel Ballesteros, Carlos Gómez-Rodríguez, Joakim Nivre:
Optimizing Planar and 2-Planar Parsers with MaltOptimizer. Proces. del Leng. Natural 49: 171-178 (2012) - [c12]Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás:
Inferring the Scope of Negation in Biomedical Documents. CICLing (1) 2012: 363-375 - [c11]Miguel Ballesteros, Joakim Nivre:
MaltOptimizer: An Optimization Tool for MaltParser. EACL 2012: 58-62 - [c10]Miguel Ballesteros, Joakim Nivre:
MaltOptimizer: A System for MaltParser Optimization. LREC 2012: 2757-2763 - [c9]Jorge Carrillo de Albornoz, Laura Plaza, Alberto Díaz, Miguel Ballesteros:
UCM-I: A Rule-based Syntactic Approach for Resolving the Scope of Negation. *SEM@NAACL-HLT 2012: 282-287 - [c8]Miguel Ballesteros, Alberto Díaz, Virginia Francisco, Pablo Gervás, Jorge Carrillo de Albornoz, Laura Plaza:
UCM-2: a Rule-Based Approach to Infer the Scope of Negation via Dependency Parsing. *SEM@NAACL-HLT 2012: 288-293 - [c7]Alberto Díaz, Miguel Ballesteros, Jorge Carrillo de Albornoz, Laura Plaza:
UCM at TREC 2012: Does Negation Influence The Retrieval of Medical Reports? TREC 2012 - 2011
- [j2]Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás:
Inferring the Scope of Negation and Speculation Via Dependency Analysis. Proces. del Leng. Natural 47: 315-316 (2011) - [c6]Pablo Gervás, Miguel Ballesteros:
A Proposal for a Spanish Surface Realization Shared Task. ENLG 2011: 212-216 - [c5]Miguel Ballesteros, Virginia Francisco, Alberto Díaz, Jesús Herrera, Pablo Gervás:
Inferring the Scope of Speculation using Dependency Analysis. KDIR 2011: 256-261 - 2010
- [j1]Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás:
Improving Parsing Accuracy for Spanish using Maltparser. Proces. del Leng. Natural 44 (2010) - [c4]Miguel Ballesteros, Susana Bautista, Pablo Gervás:
Text Simplification using Dependency Parsing for Spanish. KDIR 2010: 330-335 - [c3]Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás:
Giving Shape to an N-version Dependency Parser - Improving Dependency Parsing Accuracy for Spanish using Maltparser. KDIR 2010: 336-341 - [c2]Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás:
A Feasibility Study on Low Level Techniques for Improving Parsing Accuracy for Spanish Using Maltparser. SETN 2010: 39-48 - [c1]Miguel Ballesteros, Jesús Herrera, Virginia Francisco, Pablo Gervás:
Towards an N-Version Dependency Parser. TSD 2010: 43-50
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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-06-20 20:43 CEST by the dblp team
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