activity
20192022
most citedSimplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation

12 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

NTULM: Enriching Social Media Text Representations with Non-Textual Units

Jinning Li, Shubhanshu Mishra, Ahmed El-Kishky +2

On social media, additional context is often present in the form of annotations and meta-data such as the post's author, mentions, Hashtags, and hyperlinks. We refer to these annot…

cs.CL20224 cited

TweetNERD -- End to End Entity Linking Benchmark for Tweets

Shubhanshu Mishra, Aman Saini, Raheleh Makki +3

Named Entity Recognition and Disambiguation (NERD) systems are foundational for information retrieval, question answering, event detection, and other natural language processing (N…

cs.CL20221 cited

Improving Zero-Shot Event Extraction via Sentence Simplification

Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

The success of sites such as ACLED and Our World in Data have demonstrated the massive utility of extracting events in structured formats from large volumes of textual data in the…

cs.CL202012 cited

Simplify-then-Translate: Automatic Preprocessing for Black-Box Machine Translation

Sneha Mehta, Bahareh Azarnoush, Boris Chen +4

Black-box machine translation systems have proven incredibly useful for a variety of applications yet by design are hard to adapt, tune to a specific domain, or build on top of. In…

cs.CL2019

Low Rank Factorization for Compact Multi-Head Self-Attention

Sneha Mehta, Huzefa Rangwala, Naren Ramakrishnan

Effective representation learning from text has been an active area of research in the fields of NLP and text mining. Attention mechanisms have been at the forefront in order to le…