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Found 9 papers, 1 papers with code
Ensemble Transfer Learning for Multilingual Coreference Resolution
Leveraging the idea that the coreferential links naturally exist between anchor texts pointing to the same article, our method builds a sizeable distantly-supervised dataset for the target language that consists of tens of thousands of documents.
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking
We use the profile to query the indexed search engine to retrieve candidate entities.
A Unified Transformer-based Framework for Duplex Text Normalization
In addition, we also create a cleaned dataset from the Spoken Wikipedia Corpora for German and report the performance of our systems on the dataset.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+5
End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective Baseline
Since the first end-to-end neural coreference resolution model was introduced, many extensions to the model have been proposed, ranging from using higher-order inference to directly optimizing evaluation metrics using reinforcement learning.
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents
Experimental results show that our approach consistently improves the performance of baseline models for keyphrase extraction.
ISA: An Intelligent Shopping Assistant
Despite the growth of e-commerce, brick-and-mortar stores are still the preferred destinations for many people.
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems
In a task-oriented dialog system, the goal of dialog state tracking (DST) is to monitor the state of the conversation from the dialog history.
Ranked #4 on
Dialogue State Tracking
on Wizard-of-Oz
Supervised Transfer Learning for Product Information Question Answering
Popular e-commerce websites such as Amazon offer community question answering systems for users to pose product related questions and experienced customers may provide answers voluntarily.
A Review on Deep Learning Techniques Applied to Answer Selection
Given a question and a set of candidate answers, answer selection is the task of identifying which of the candidates answers the question correctly.
