Papers with language modeling methods

2 papers
Backtracing: Retrieving the Cause of the Query (2024.findings-eacl)

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Challenge: a number of online content portals allow users to ask questions to supplement their understanding.
Approach: They propose a task of backtracing to retrieve the text segment that most likely caused a user query.
Outcome: The proposed method improves on the backtracing task in three domains . the results show that there is room for improvement and new retrieval approaches .
Language Modeling with Sparse Product of Sememe Experts (D18-1)

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Challenge: Existing language modeling methods rely on large-scale text data to learn the sequential patterns of words.
Approach: They propose to use sememes to represent the implicit semantics behind words for language modeling . they propose to employ sememe-driven language models to fine-grained semem-level semantics .
Outcome: Experiments on language modeling and the downstream application of headline generation show the effectiveness of SDLM.

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