2 code implementations • 7 Jun 2023 • Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria
Instruction-tuned large language models have revolutionized natural language processing and have shown great potential in applications such as conversational agents.
1 code implementation • 22 Dec 2020 • Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea
We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines.
Ranked #1 on Recognizing Emotion Cause in Conversations on RECCON
1 code implementation • 10 Sep 2020 • Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria
This graph is fed to a graph attention network for context propagation among relevant nodes, which effectively captures the dialogue context.
Ranked #7 on Dialog Relation Extraction on DialogRE (F1c (v1) metric)
1 code implementation • EMNLP 2020 • Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria
Current approaches to empathetic response generation view the set of emotions expressed in the input text as a flat structure, where all the emotions are treated uniformly.
1 code implementation • SIGDIAL (ACL) 2021 • Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria
Commonsense inference to understand and explain human language is a fundamental research problem in natural language processing.
1 code implementation • 12 Nov 2022 • Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria
To tackle this problem, we propose a novel method called Multimodal Probabilistic Fusion Prompts (MultiPoint) that leverages diverse cues from different modalities for multimodal sentiment detection in the few-shot scenario.
1 code implementation • 18 May 2023 • Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, Soujanya Poria
Therefore, how to select effective pseudo labels to denoise DS data is still a challenge in document-level distant relation extraction.
1 code implementation • 17 Jan 2024 • Pengfei Hong, Deepanway Ghosal, Navonil Majumder, Somak Aditya, Rada Mihalcea, Soujanya Poria
Recent advancements in Large Language Models (LLMs) have showcased striking results on existing logical reasoning benchmarks, with some models even surpassing human performance.
no code implementations • 4 May 2023 • Pengfei Hong, Rishabh Bhardwaj, Navonil Majumdar, Somak Aditya, Soujanya Poria
Our experiments empirically show that the counterfactual samples sourced from our masked text lead to improved domain transfer on 10 out of 12 domain sentiment classification settings, with an average of 2% accuracy improvement over the state-of-the-art for unsupervised domain adaptation (UDA).