Aria Haghighi

According to our database, Aria Haghighi authored at least 34 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Learning Stance Embeddings from Signed Social Graphs.

John Pougué-Biyong, Akshay Gupta, Aria Haghighi, Ahmed El-Kishky

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval.

Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

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

TweetNERD - End to End Entity Linking Benchmark for Tweets.

Shubhanshu Mishra, Aman Saini, Raheleh Makki, Sneha Mehta, Aria Haghighi, Ali Mollahosseini

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CTM - A Model for Large-Scale Multi-View Tweet Topic Classification.

Vivek Kulkarni, Kenny Leung, Aria Haghighi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph-based Representation Learning for Web-scale Recommender Systems.

Ahmed El-Kishky, Michael M. Bronstein, Ying Xiao, Aria Haghighi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

LMSOC: An Approach for Socially Sensitive Pretraining.

Vivek Kulkarni, Shubhanshu Mishra, Aria Haghighi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction.

Shubhanshu Mishra, Aria Haghighi

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020

Entity Matching in the Wild: A Consistent and Versatile Framework to Unify Data in Industrial Applications.

Yan Yan, Stephen Meyles, Aria Haghighi, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020

2011

Structured Relation Discovery using Generative Models.

Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew McCallum

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Modeling Syntactic Context Improves Morphological Segmentation.

Yoong Keok Lee, Aria Haghighi, Regina Barzilay

Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

Content Models with Attitude.

Christina Sauper, Aria Haghighi, Regina Barzilay

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Ordering Prenominal Modifiers with a Reranking Approach.

Jenny Liu, Aria Haghighi

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Event Discovery in Social Media Feeds.

Edward Benson, Aria Haghighi, Regina Barzilay

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Coreference Resolution in a Modular, Entity-Centered Model.

Aria Haghighi, Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Incorporating Content Structure into Text Analysis Applications.

Christina Sauper, Aria Haghighi, Regina Barzilay

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Simple Type-Level Unsupervised POS Tagging.

Yoong Keok Lee, Aria Haghighi, Regina Barzilay

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

An Entity-Level Approach to Information Extraction.

Aria Haghighi, Dan Klein

Proceedings of the ACL 2010, 2010

2009

Exploring Content Models for Multi-Document Summarization.

Aria Haghighi, Lucy Vanderwende

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Simple Coreference Resolution with Rich Syntactic and Semantic Features.

Aria Haghighi, Dan Klein

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Better Word Alignments with Supervised ITG Models.

Aria Haghighi, John Blitzer, John DeNero, Dan Klein

Proceedings of the ACL 2009, 2009

2008

A Global Joint Model for Semantic Role Labeling.

Kristina Toutanova, Aria Haghighi, Christopher D. Manning

Comput. Linguistics, 2008

Fully distributed EM for very large datasets.

Jason Andrew Wolfe, Aria Haghighi, Dan Klein

Proceedings of the Machine Learning, 2008

Coarse-to-Fine Syntactic Machine Translation using Language Projections.

Slav Petrov, Aria Haghighi, Dan Klein

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Learning Bilingual Lexicons from Monolingual Corpora.

Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the ACL 2008, 2008

2007

Approximate Factoring for A* Search.

Aria Haghighi, John DeNero, Dan Klein

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Unsupervised Coreference Resolution in a Nonparametric Bayesian Model.

Aria Haghighi, Dan Klein

Proceedings of the ACL 2007, 2007

A* Search via Approximate Factoring.

Aria Haghighi, John DeNero, Dan Klein

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Prototype-Driven Learning for Sequence Models.

Aria Haghighi, Dan Klein

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Prototype-Driven Grammar Induction.

Aria Haghighi, Dan Klein

Proceedings of the ACL 2006, 2006

2005

Robust Textual Inference via Graph Matching.

Aria Haghighi, Andrew Y. Ng, Christopher D. Manning

Proceedings of the HLT/EMNLP 2005, 2005

A Joint Model for Semantic Role Labeling.

Aria Haghighi, Kristina Toutanova, Christopher D. Manning

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Joint Learning Improves Semantic Role Labeling.

Kristina Toutanova, Aria Haghighi, Christopher D. Manning

Proceedings of the ACL 2005, 2005