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Found 7 papers, 5 papers with code
Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation.
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation.
Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Humans usually have conversations by making use of prior knowledge about a topic and background information of the people whom they are talking to.
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning
CommonsenseQA is a task in which a correct answer is predicted through commonsense reasoning with pre-defined knowledge.
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection
In this paper, we study the task of selecting the optimal response given a user and system utterance history in retrieval-based multi-turn dialog systems.
Ranked #5 on
Conversational Response Selection
on E-commerce
Word Sense Disambiguation using Knowledge-based Word Similarity
Furthermore, our system outperformed the existing knowledge-based WSD systems and showed a performance comparable to that of the state-of-the-art supervised WSD systems.
An Effective Domain Adaptive Post-Training Method for BERT in Response Selection
We focus on multi-turn response selection in a retrieval-based dialog system.
