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TabEL: Entity Linking in Web Tables
TLDR
TabEL differs from previous work by weakening the assumption that the semantics of a table can be mapped to pre-defined types and relations found in the target KB, and enforces soft constraints in the form of a graphical model that assigns higher likelihood to sets of entities that tend to co-occur in Wikipedia documents and tables.
Definition Modeling: Learning to Define Word Embeddings in Natural Language
TLDR
The results show that a model that controls dependencies between the word being defined and the definition words performs significantly better, and that a character-level convolution layer designed to leverage morphology can complement word-level embeddings.
Methods for exploring and mining tables on Wikipedia
TLDR
This work presents WikiTables, a Web application that enables users to interactively explore tabular knowledge extracted from Wikipedia that substantially outperforms baselines on the novel task of automatically joining together disparate tables to uncover "interesting" relationships between table columns.
Adding High-Precision Links to Wikipedia
TLDR
3W is presented, a system that identifies concept mentions in Wikipedia text, and links each mention to its referent page, and leverages rich semantic information present in Wikipedia to achieve high precision.
Deep Learning-based Extraction of Algorithmic Metadata in Full-Text Scholarly Documents
TLDR
A set of enhancements to the previously proposed algorithm search engine AlgorithmSeer are presented, proposing a set of methods to automatically identify and extract algorithmic pseudo-codes and the sentences that convey related algorithmic metadata using aSet of machine-learning techniques.
WabiQA: A Wikipedia-Based Thai Question-Answering System
TLDR
WabiQA, a novel system for automatically answering questions in the Thai language using the Thai Wikipedia articles as the knowledge source, and develops a prototype mobile application that aims to facilitate Thai users with visual impairment using voice-to-speech technology and an intelligent question-answer categorization.
WebSAIL wikifier at ERD 2014
TLDR
WebSAIL Wikifier is presented, an entity recognition and disambiguation system that identifies and links textual mentions to their referent entities in Wikipedia and later maps to the ERD set of target entities.
Multi-sense Definition Modeling using Word Sense Decompositions
TLDR
This paper introduces a new method that enables definition modeling for multiple senses of the same word, and shows how a Gumble-Softmax approach outperforms baselines at matching sense-specific embeddings to definitions during training.
Controlling Global Statistics in Recurrent Neural Network Text Generation
TLDR
A dynamic regularizer that updates as training proceeds, based on the generative behavior of the RNNLMs is presented, which improves model perplexity when the statistical constraints are n-gram statistics taken from a large corpus.
DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction
The explosion of online information with the recent advent of digital technology in information processing, information storing, information sharing, natural language processing, and text mining
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