no code implementations • 22 Apr 2024 • Maxim Enis, Mark Hopkins
We show that Claude 3 Opus, a large language model (LLM) released by Anthropic in March 2024, exhibits stronger machine translation competence than other LLMs.
no code implementations • SEMEVAL 2020 • Vinay Gopalan, Mark Hopkins
We explore the task of sentiment analysis on Hinglish (code-mixed Hindi-English) tweets as participants of Task 9 of the SemEval-2020 competition, known as the SentiMix task.
1 code implementation • SEMEVAL 2019 • Mark Hopkins, Ronan Le Bras, Cristian Petrescu-Prahova, Gabriel Stanovsky, Hannaneh Hajishirzi, Rik Koncel-Kedziorski
Systems were evaluated based on the percentage of correctly answered questions.
no code implementations • EMNLP 2018 • Gabriel Stanovsky, Mark Hopkins
We propose Odd-Man-Out, a novel task which aims to test different properties of word representations.
1 code implementation • ACL 2018 • Vidur Joshi, Matthew Peters, Mark Hopkins
We revisit domain adaptation for parsers in the neural era.
no code implementations • EMNLP 2017 • Aaron Sarnat, Vidur Joshi, Cristian Petrescu-Prahova, Alvaro Herrasti, Br Stilson, on, Mark Hopkins
We provide a visualization library and web interface for interactively exploring a parse tree or a forest of parses.
no code implementations • EMNLP 2017 • Mark Hopkins, Cristian Petrescu-Prahova, Roie Levin, Ronan Le Bras, Alvaro Herrasti, Vidur Joshi
We present an approach for answering questions that span multiple sentences and exhibit sophisticated cross-sentence anaphoric phenomena, evaluating on a rich source of such questions {--} the math portion of the Scholastic Aptitude Test (SAT).