Search Results for author:
Found 17 papers, 2 papers with code
SumREN: Summarizing Reported Speech about Events in News
A primary objective of news articles is to establish the factual record for an event, frequently achieved by conveying both the details of the specified event (i. e., the 5 Ws; Who, What, Where, When and Why regarding the event) and how people reacted to it (i. e., reported statements).
PLAtE: A Large-scale Dataset for List Page Web Extraction
Recently, neural models have been leveraged to significantly improve the performance of information extraction from semi-structured websites.
Answer Consolidation: Formulation and Benchmarking
Current question answering (QA) systems primarily consider the single-answer scenario, where each question is assumed to be paired with one correct answer.
Hidden Biases in Unreliable News Detection Datasets
Using the observations and experimental results, we provide practical suggestions on how to create more reliable datasets for the unreliable news detection task.
Automating Template Creation for Ranking-Based Dialogue Models
We compare this method to a random baseline that randomly assigns templates to clusters as well as a strong baseline that performs the sentence encoding and the utterance clustering sequentially.
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting
To test our models, a customer service agent handles live contacts and at each turn we present the top four model responses and allow the agent to select (and optionally edit) one of the suggestions or to type their own.
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification
The ability to automatically and accurately process customer feedback is a necessity in the private sector.
Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon
Multiple levels of quality checks are performed on the output of each step in the creation process.
Simplified guidelines for the creation of Large Scale Dialectal Arabic Annotations
In this paper, we present a simplified Set of guidelines for detecting code switching in Arabic on the word/token level.
