activity
20182026
most citedIntent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11

3 citations · 9 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Prefix Executability: Evaluating Tool-Using Agents Beyond Final Success

Amir H. Rezaeian, Weiyi Sun, Yassine Benajiba +1

Tool-use benchmarks often score agents by final task success, but terminal outcomes can obscure whether the intermediate tool-call trajectory was executable. We propose prefix exec…

cs.CL2023

Characterizing and Measuring Linguistic Dataset Drift

Tyler A. Chang, Kishaloy Halder, Neha Anna John +4

NLP models often degrade in performance when real world data distributions differ markedly from training data. However, existing dataset drift metrics in NLP have generally not con…

cs.CL2023★ 2 cited

Taxonomy Expansion for Named Entity Recognition

Karthikeyan K, Yogarshi Vyas, Jie Ma +7

Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize addition…

cs.CL2023★ 3 cited

Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11

James Gung, Raphael Shu, Emily Moeng +6

With increasing demand for and adoption of virtual assistants, recent work has investigated ways to accelerate bot schema design through the automatic induction of intents or the i…

cs.CL2023★ 1 cited

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization

Ming Shen, Jie Ma, Shuai Wang +4

Opinion summarization provides an important solution for summarizing opinions expressed among a large number of reviews. However, generating aspect-specific and general summaries i…

cs.CL2023★ 1 cited

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views

Katerina Margatina, Shuai Wang, Yogarshi Vyas +3

Temporal concept drift refers to the problem of data changing over time. In NLP, that would entail that language (e.g. new expressions, meaning shifts) and factual knowledge (e.g.…

cs.CL2022★ 1 cited

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

Siddharth Varia, Shuai Wang, Kishaloy Halder +7

Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task which involves four elements from user-generated texts: aspect term, aspect category, opinion term,…

cs.CL2018★ 1 cited

Siamese Networks for Semantic Pattern Similarity

Yassine Benajiba, Jin Sun, Yong Zhang +3

Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract sema…