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Found 17 papers, 3 papers with code
Can Neural Networks Automatically Score Essay Traits?
Essay traits are attributes of an essay that can help explain how well written (or badly written) the essay is.
Towards Understanding ASR Error Correction for Medical Conversations
Domain Adaptation for Automatic Speech Recognition (ASR) error correction via machine translation is a useful technique for improving out-of-domain outputs of pre-trained ASR systems to obtain optimal results for specific in-domain tasks.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models
We discuss automatic creation of medical reports from ASR-generated patient-doctor conversational transcripts using an end-to-end neural summarization approach.
Tag Me If You Can! Semantic Annotation of Biodiversity Metadata with the QEMP Corpus and the BiodivTagger
To the best of our knowledge, this is the first annotated metadata corpus for biodiversity research data.
Towards the Necessity for Debiasing Natural Language Inference Datasets
Modeling natural language inference is a challenging task.
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling
This paper presents a strong set of results for resolving gendered ambiguous pronouns on the Gendered Ambiguous Pronouns shared task.
Ranked #2 on
Coreference Resolution
on GAP
SkillBot: Towards Automatic Skill Development via User Demonstration
We present SkillBot that takes the first step to enable end users to teach new skills in personal assistants (PA).
Correcting Whitespace Errors in Digitized Historical Texts
Whitespace errors are common to digitized archives.
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
The automation of text summarisation of biomedical publications is a pressing need due to the plethora of information available online.
Multimodal Differential Network for Visual Question Generation
Generating natural questions from an image is a semantic task that requires using visual and language modality to learn multimodal representations.
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
One way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.
Neural Models for Key Phrase Extraction and Question Generation
We propose a two-stage neural model to tackle question generation from documents.
Thank ``Goodness''! A Way to Measure Style in Student Essays
Essays have two major components for scoring - content and style.
The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification
In this paper, we present an effective system using voting ensemble classifiers to detect contextually complex words for non-native English speakers.
Temporal Orientation of Tweets for Predicting Income of Users
Automatically estimating a user{'}s socio-economic profile from their language use in social media can significantly help social science research and various downstream applications ranging from business to politics.
