Joint Learning Improves Semantic Role Labeling. - Kristina Toutanova; Aria Haghighi; Christopher D. Manning (ACL, 2005)

A Joint Model for Semantic Role Labeling. - Aria Haghighi; Kristina Toutanova; Christopher D. Manning (CoNLL, 2005)

Robust Textual Inference via Graph Matching. - Aria Haghighi; Andrew Y. Ng; Christopher D. Manning (HLT/EMNLP, 2005)

Prototype-Driven Grammar Induction. - Aria Haghighi; Dan Klein 001 (ACL, 2006)

Prototype-Driven Learning for Sequence Models. - Aria Haghighi; Dan Klein 001 (HLT-NAACL, 2006)

A* Search via Approximate Factoring. - Aria Haghighi; John DeNero; Dan Klein 001 (AAAI, 2007)

Unsupervised Coreference Resolution in a Nonparametric Bayesian Model. - Aria Haghighi; Dan Klein 001 (ACL, 2007)

Approximate Factoring for A* Search. - Aria Haghighi; John DeNero; Dan Klein 001 (HLT-NAACL, 2007)

Learning Bilingual Lexicons from Monolingual Corpora. - Aria Haghighi; Percy Liang; Taylor Berg-Kirkpatrick; Dan Klein 001 (ACL, 2008)

Coarse-to-Fine Syntactic Machine Translation using Language Projections. - Slav Petrov; Aria Haghighi; Dan Klein 001 (EMNLP, 2008)

Fully distributed EM for very large datasets. - Jason Andrew Wolfe; Aria Haghighi; Dan Klein 001 (ICML, 2008)

A Global Joint Model for Semantic Role Labeling. - Kristina Toutanova; Aria Haghighi; Christopher D. Manning (Comput. Linguistics, 2008)

Better Word Alignments with Supervised ITG Models. - Aria Haghighi; John Blitzer; John DeNero; Dan Klein 001 (ACL/IJCNLP, 2009)

Simple Coreference Resolution with Rich Syntactic and Semantic Features. - Aria Haghighi; Dan Klein 001 (EMNLP, 2009)

Exploring Content Models for Multi-Document Summarization. - Aria Haghighi; Lucy Vanderwende (HLT-NAACL, 2009)

An Entity-Level Approach to Information Extraction. - Aria Haghighi; Dan Klein 001 (ACL (2), 2010)

Simple Type-Level Unsupervised POS Tagging. - Yoong Keok Lee; Aria Haghighi; Regina Barzilay (EMNLP, 2010)

Incorporating Content Structure into Text Analysis Applications. - Christina Sauper; Aria Haghighi; Regina Barzilay (EMNLP, 2010)

Coreference Resolution in a Modular, Entity-Centered Model. - Aria Haghighi; Dan Klein 001 (HLT-NAACL, 2010)

Event Discovery in Social Media Feeds. - Edward Benson; Aria Haghighi; Regina Barzilay (ACL, 2011)

Ordering Prenominal Modifiers with a Reranking Approach. - Jenny Liu; Aria Haghighi (ACL, 2011)

Content Models with Attitude. - Christina Sauper; Aria Haghighi; Regina Barzilay (ACL, 2011)

Modeling Syntactic Context Improves Morphological Segmentation. - Yoong Keok Lee; Aria Haghighi; Regina Barzilay (CoNLL, 2011)

Structured Relation Discovery using Generative Models. - Limin Yao; Aria Haghighi; Sebastian Riedel 001; Andrew McCallum (EMNLP, 2011)

Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications. - Yan Yan; Stephen Meyles; Aria Haghighi; Dan Suciu (SIGMOD Conference, 2020)

Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction. - Shubhanshu Mishra; Aria Haghighi (W-NUT, 2021)

LMSOC: An Approach for Socially Sensitive Pretraining. - Vivek Kulkarni; Shubhanshu Mishra; Aria Haghighi (EMNLP (Findings), 2021)

Graph-based Representation Learning for Web-scale Recommender Systems. - Ahmed El-Kishky; Michael M. Bronstein; Ying Xiao; Aria Haghighi (KDD, 2022)

TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation. - Ahmed El-Kishky; Thomas Markovich; Serim Park; Chetan Verma; Baekjin Kim; Ramy Eskander; Yury Malkov; Frank Portman; Sofía Samaniego; Ying Xiao; Aria Haghighi (KDD, 2022)

CTM - A Model for Large-Scale Multi-View Tweet Topic Classification. - Vivek Kulkarni; Kenny Leung; Aria Haghighi (NAACL-HLT (Industry Papers), 2022)

TweetNERD - End to End Entity Linking Benchmark for Tweets. - Shubhanshu Mishra; Aman Saini; Raheleh Makki; Sneha Mehta; Aria Haghighi; Ali Mollahosseini (NeurIPS, 2022)

kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval. - Ahmed El-Kishky; Thomas Markovich; Kenny Leung; Frank Portman; Aria Haghighi; Ying Xiao (CoRR, 2022)

bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval. - Ahmed El-Kishky; Thomas Markovich; Kenny Leung; Frank Portman; Aria Haghighi; Ying Xiao (PAKDD (3), 2023)

Learning Stance Embeddings from Signed Social Graphs. - John Pougué-Biyong; Akshay Gupta; Aria Haghighi; Ahmed El-Kishky (WSDM, 2023)