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10/24/2022
An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks
Though linguistic knowledge emerges during large-scale language model pr...
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03/15/2022
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
Representations of events described in text are important for various ta...
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12/31/2020
CoCoLM: COmplex COmmonsense Enhanced Language Model
Large-scale pre-trained language models have demonstrated strong knowled...
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10/10/2020
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models
We address hypernymy detection, i.e., whether an is-a relationship exist...
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06/21/2020
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations
Computational and cognitive studies suggest that the abstraction of even...
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01/09/2020
Multiplex Word Embeddings for Selectional Preference Acquisition
Conventional word embeddings represent words with fixed vectors, which a...
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09/01/2019
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
Capturing users' precise preferences is a fundamental problem in large-s...
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01/25/2016
Quegel: A General-Purpose Query-Centric Framework for Querying Big Graphs
Pioneered by Google's Pregel, many distributed systems have been develop...
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03/02/2015