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2020 – today
- 2023
[c32]Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao:
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. PAKDD (3) 2023: 374-386- [c31]John Pougué-Biyong
, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky:
Learning Stance Embeddings from Signed Social Graphs. WSDM 2023: 177-185 - 2022
- [c30]Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi:
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. KDD 2022: 2842-2850 - [c29]Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi:
Graph-based Representation Learning for Web-scale Recommender Systems. KDD 2022: 4784-4785 - [c28]Vivek Kulkarni, Kenny Leung, Aria Haghighi:
CTM - A Model for Large-Scale Multi-View Tweet Topic Classification. NAACL-HLT (Industry Papers) 2022: 247-258 - [c27]Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini:
TweetNERD - End to End Entity Linking Benchmark for Tweets. NeurIPS 2022 - [i7]John Pougué-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky:
Learning Stance Embeddings from Signed Social Graphs. CoRR abs/2201.11675 (2022) - [i6]Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi:
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. CoRR abs/2202.05387 (2022) - [i5]Vivek Kulkarni, Kenny Leung, Aria Haghighi:
CTM - A Model for Large-Scale Multi-View Tweet Topic Classification. CoRR abs/2205.01603 (2022) - [i4]Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao:
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval. CoRR abs/2205.06205 (2022) - [i3]Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini:
TweetNERD - End to End Entity Linking Benchmark for Tweets. CoRR abs/2210.08129 (2022) - 2021
- [c26]Shubhanshu Mishra, Aria Haghighi:
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction. W-NUT 2021: 381-388 - [c25]Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi:
LMSOC: An Approach for Socially Sensitive Pretraining. EMNLP (Findings) 2021: 2967-2975 - [i2]Shubhanshu Mishra, Aria Haghighi:
Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction. CoRR abs/2110.10318 (2021) - [i1]Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi:
LMSOC: An Approach for Socially Sensitive Pretraining. CoRR abs/2110.10319 (2021) - 2020
- [c24]Yan Yan, Stephen Meyles, Aria Haghighi, Dan Suciu:
Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications. SIGMOD Conference 2020: 2287-2301
2010 – 2019
- 2011
- [c23]Christina Sauper, Aria Haghighi, Regina Barzilay:
Content Models with Attitude. ACL 2011: 350-358 - [c22]Edward Benson, Aria Haghighi, Regina Barzilay:
Event Discovery in Social Media Feeds. ACL 2011: 389-398 - [c21]Jenny Liu, Aria Haghighi:
Ordering Prenominal Modifiers with a Reranking Approach. ACL 2011: 1109-1116 - [c20]Yoong Keok Lee, Aria Haghighi, Regina Barzilay:
Modeling Syntactic Context Improves Morphological Segmentation. CoNLL 2011: 1-9 - [c19]Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew McCallum:
Structured Relation Discovery using Generative Models. EMNLP 2011: 1456-1466 - 2010
- [c18]Aria Haghighi, Dan Klein:
An Entity-Level Approach to Information Extraction. ACL (2) 2010: 291-295 - [c17]Christina Sauper, Aria Haghighi, Regina Barzilay:
Incorporating Content Structure into Text Analysis Applications. EMNLP 2010: 377-387 - [c16]Yoong Keok Lee, Aria Haghighi, Regina Barzilay:
Simple Type-Level Unsupervised POS Tagging. EMNLP 2010: 853-861 - [c15]Aria Haghighi, Dan Klein:
Coreference Resolution in a Modular, Entity-Centered Model. HLT-NAACL 2010: 385-393
2000 – 2009
- 2009
- [c14]Aria Haghighi, John Blitzer, John DeNero, Dan Klein:
Better Word Alignments with Supervised ITG Models. ACL/IJCNLP 2009: 923-931 - [c13]Aria Haghighi, Dan Klein:
Simple Coreference Resolution with Rich Syntactic and Semantic Features. EMNLP 2009: 1152-1161 - [c12]Aria Haghighi, Lucy Vanderwende:
Exploring Content Models for Multi-Document Summarization. HLT-NAACL 2009: 362-370 - 2008
- [j1]Kristina Toutanova, Aria Haghighi, Christopher D. Manning:
A Global Joint Model for Semantic Role Labeling. Comput. Linguistics 34(2): 161-191 (2008) - [c11]Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein:
Learning Bilingual Lexicons from Monolingual Corpora. ACL 2008: 771-779 - [c10]Slav Petrov, Aria Haghighi, Dan Klein:
Coarse-to-Fine Syntactic Machine Translation using Language Projections. EMNLP 2008: 108-116 - [c9]Jason Andrew Wolfe, Aria Haghighi, Dan Klein:
Fully distributed EM for very large datasets. ICML 2008: 1184-1191 - 2007
- [c8]Aria Haghighi, John DeNero, Dan Klein:
A* Search via Approximate Factoring. AAAI 2007: 1642-1645 - [c7]Aria Haghighi, Dan Klein:
Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. ACL 2007 - [c6]Aria Haghighi, John DeNero, Dan Klein:
Approximate Factoring for A* Search. HLT-NAACL 2007: 412-419 - 2006
- [c5]Aria Haghighi, Dan Klein:
Prototype-Driven Grammar Induction. ACL 2006 - [c4]Aria Haghighi, Dan Klein:
Prototype-Driven Learning for Sequence Models. HLT-NAACL 2006 - 2005
- [c3]Kristina Toutanova, Aria Haghighi, Christopher D. Manning:
Joint Learning Improves Semantic Role Labeling. ACL 2005: 589-596 - [c2]Aria Haghighi, Kristina Toutanova, Christopher D. Manning:
A Joint Model for Semantic Role Labeling. CoNLL 2005: 173-176 - [c1]Aria Haghighi, Andrew Y. Ng, Christopher D. Manning:
Robust Textual Inference via Graph Matching. HLT/EMNLP 2005: 387-394
Coauthor Index
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