דלג לתוכן (מקש קיצור 's')
אירועים

אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

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יותם אשל (הרצאה סמינריונית למגיסטר)
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יום רביעי, 19.07.2017, 12:00
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Taub 601
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מנחה: Prof. Shaul Markovitch
We address the task of Named Entity Disambiguation (NED) for noisy text. We present WikilinksNED, a large-scale NED dataset of text fragments from the web, which is significantly noisier and more challenging than existing news-based datasets. To capture the limited and noisy local context surrounding each mention, we design a neural model based on GRUs and attention and describe how to train it. We also describe a new way of initializing word and entity embeddings that significantly improves performance. We show our model significantly outperforms existing state-of-the-art methods on WikilinksNED while achieving comparable performance on a smaller newswire dataset.