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Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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Towards the Early Detection of Child Predators in Chat Rooms: A BERT-based Approach ...
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STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
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Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution ...
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Graphine: A Dataset for Graph-aware Terminology Definition Generation ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.278/ Abstract: Precisely defining the terminology is the first step in scientific communication. Developing neural text generation models for definition generation can circumvent the labor-intensity curation, further accelerating scientific discovery. Unfortunately, the lack of large-scale terminology definition dataset hinders the process toward definition generation. In this paper, we present a large-scale terminology definition dataset Graphine covering 2,010,648 terminology definition pairs, spanning 227 biomedical subdisciplines. Terminologies in each subdiscipline further form a directed acyclic graph, opening up new avenues for developing graph-aware text generation models. We then proposed a novel graph-aware definition generation model Graphex that integrates transformer with graph neural network. Our model outperforms existing text generation models by exploiting the graph structure of terminologies. We further demonstrated how Graphine ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Neural Network; Text Generation
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URL: https://underline.io/lecture/37614-graphine-a-dataset-for-graph-aware-terminology-definition-generation https://dx.doi.org/10.48448/vcb0-rh29
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End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
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To what extent do human explanations of model behavior align with actual model behavior? ...
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Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs ...
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What’s Hidden in a One-layer Randomly Weighted Transformer? ...
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Pruning Neural Machine Translation for Speed Using Group Lasso ...
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Elementary-Level Math Word Problem Generation using Pre-Trained Transformers ...
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Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings ...
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The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation ...
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Knowledge Graph Representation Learning using Ordinary Differential Equations ...
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What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations ...
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Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions ...
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ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection ...
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