1 code implementation • IWCS (ACL) 2021 • James Gung, Martha Palmer
Despite recent advances in semantic role labeling propelled by pre-trained text encoders like BERT, performance lags behind when applied to predicates observed infrequently during training or to sentences in new domains.
1 code implementation • IWCS (ACL) 2021 • Kevin Stowe, Jenette Preciado, Kathryn Conger, Susan Windisch Brown, Ghazaleh Kazeminejad, James Gung, Martha Palmer
The SemLink resource provides mappings between a variety of lexical semantic ontologies, each with their strengths and weaknesses.
no code implementations • GWC 2016 • Qingqing Cai, James Gung, Maochen Guan, Gerald Kurlandski, Adam Pease
In the first phase sentence classification is performed with a classifier trained with the passive aggressive algorithm utilizing the UIUC dataset and taxonomy and a feature set including word vectors.
no code implementations • *SEM (NAACL) 2022 • Sameer Pradhan, Julia Bonn, Skatje Myers, Kathryn Conger, Tim O’Gorman, James Gung, Kristin Wright-Bettner, Martha Palmer
This paper describes the evolution of the PropBank approach to semantic role labeling over the last two decades.
no code implementations • 18 Oct 2024 • Wanyu Du, Song Feng, James Gung, Lijia Sun, Yi Zhang, Saab Mansour, Yanjun Qi
Developing language model-based dialogue agents requires effective data to train models that can follow specific task logic.
no code implementations • 4 Oct 2024 • Mujeen Sung, Song Feng, James Gung, Raphael Shu, Yi Zhang, Saab Mansour
Motivated by the observation that even advanced language models like GPT-3. 5 often miss semantic cues from lists, this paper aims to enhance question answering (QA) systems for better interpretation and use of structured lists.
no code implementations • 23 Sep 2023 • Sam Davidson, Salvatore Romeo, Raphael Shu, James Gung, Arshit Gupta, Saab Mansour, Yi Zhang
One of the major impediments to the development of new task-oriented dialogue (TOD) systems is the need for human evaluation at multiple stages and iterations of the development process.
no code implementations • 1 Aug 2023 • Qingyang Wu, James Gung, Raphael Shu, Yi Zhang
Dialogue act annotations are important to improve response generation quality in task-oriented dialogue systems.
1 code implementation • 24 May 2023 • Mujeen Sung, James Gung, Elman Mansimov, Nikolaos Pappas, Raphael Shu, Salvatore Romeo, Yi Zhang, Vittorio Castelli
Intent classification (IC) plays an important role in task-oriented dialogue systems.
no code implementations • 24 May 2023 • Shufan Wang, Sebastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas, Yi Zhang
In executable task-oriented semantic parsing, the system aims to translate users' utterances in natural language to machine-interpretable programs (API calls) that can be executed according to pre-defined API specifications.
2 code implementations • 4 May 2023 • James Gung, Emily Moeng, Wesley Rose, Arshit Gupta, Yi Zhang, Saab Mansour
Existing task-oriented dialogue datasets, which were collected to benchmark dialogue systems mainly in written human-to-bot settings, are not representative of real customer support conversations and do not provide realistic benchmarks for systems that are applied to natural data.
2 code implementations • 25 Apr 2023 • James Gung, Raphael Shu, Emily Moeng, Wesley Rose, Salvatore Romeo, Yassine Benajiba, Arshit Gupta, Saab Mansour, Yi Zhang
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 induction of slots and dialogue states.
no code implementations • WS 2019 • Susan Windisch Brown, Julia Bonn, James Gung, Annie Zaenen, James Pustejovsky, Martha Palmer
This paper announces the release of a new version of the English lexical resource VerbNet with substantially revised semantic representations designed to facilitate computer planning and reasoning based on human language.