Comprehensive analysis of aspect term extraction methods using various text embeddings
Recently, a variety of model designs and methods have blossomed in the context of the
sentiment analysis domain. However, there is still a lack of comprehensive studies of Aspect …
sentiment analysis domain. However, there is still a lack of comprehensive studies of Aspect …
Recurrent neural networks with external addressable long-term and working memory for learning long-term dependences
Learning long-term dependences (LTDs) with recurrent neural networks (RNNs) is
challenging due to their limited internal memories. In this paper, we propose a new external …
challenging due to their limited internal memories. In this paper, we propose a new external …
Relation-aware fine-grained reasoning network for textbook question answering
Textbook question answering (TQA) is a task that one should answer non-diagram and
diagram questions accurately, given a large context which consists of abundant diagrams …
diagram questions accurately, given a large context which consists of abundant diagrams …
Improving Convolutional End-to-End Memory Networks with BERT for Question Answering
Question answering (QA) systems process natural language queries in order to retrieve
relevant answers from data, document corpus or the Web. Memory networks have shown …
relevant answers from data, document corpus or the Web. Memory networks have shown …
Best of both worlds: mitigating imbalance of crowd worker strategic choices without a budget
Crowdsourcing has become a popular paradigm for requesters to hire ubiquitous crowd
workers. The worker's selfish instinct of choosing the most profitable task can cause the …
workers. The worker's selfish instinct of choosing the most profitable task can cause the …
A reliable and accurate multiple choice question answering system for due diligence
The problem of answering multiple choice questions, based on the content of documents
has been studied extensively in the machine learning literature. We pose the due diligence …
has been studied extensively in the machine learning literature. We pose the due diligence …
Multiple choice question answer system using ensemble deep neural network
Question answer (QA) system is closely related to NLP and IR tasks. An automated QA
system should understand the semantics of question and derive answers relevant to it. In …
system should understand the semantics of question and derive answers relevant to it. In …
Multitask learning as question answering
2021-01-06 Assigned to SALESFORCE. COM, INC. reassignment SALESFORCE. COM,
INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …
INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS) …
Training with Streaming Annotation
In this paper, we address a practical scenario where training data is released in a sequence
of small-scale batches and annotation in earlier phases has lower quality than the later …
of small-scale batches and annotation in earlier phases has lower quality than the later …