Search Results for author:
Found 10 papers, 2 papers with code
Adapting Entities across Languages and Cultures
He is associated with founding a company in the United States, so perhaps the German founder Carl Benz could stand in for Gates in those contexts.
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
To address the standardization gap, we systematically evaluate a dominant classical model and two state-of-the-art neural models on two commonly used datasets.
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
To address the standardization gap, we systematically evaluate a dominant classical model and two state-of-the-art neural models on two commonly used datasets.
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation
Recent high scores on pronoun translation using context-aware neural machine translation have suggested that current approaches work well.
It Takes Two to Lie: One to Lie, and One to Listen
Trust is implicit in many online text conversations{---}striking up new friendships, or asking for tech support.
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data
With a total of over 81K dialogues harvested across six domains, MultiDoGO is over 8 times the size of MultiWOZ, the other largest comparable dialogue dataset currently available to the public.
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts
The readability of a digital text can influence people{'}s ability to learn new things about a range topics from digital resources (e. g., Wikipedia, WebMD).
Can You Unpack That? Learning to Rewrite Questions-in-Context
Question answering is an AI-complete problem, but existing datasets lack key elements of language understanding such as coreference and ellipsis resolution.
Mitigating Noisy Inputs for Question Answering
We investigate and mitigate the effects of noise from Automatic Speech Recognition systems on two factoid Question Answering (QA) tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity
After optimizing hyperparameters, we train the network on the multilingual semantic similarity task using pre-translated sentences.
