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Found 11 papers, 2 papers with code
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling
State-of-the-art methods for text classification include several distinct steps of pre-processing, feature extraction and post-processing.
Expanding the Text Classification Toolbox with Cross-Lingual Embeddings
In particular, we test the hypothesis that embeddings with context are more effective, by multi-tasking the learning of multilingual word embeddings and text classification; we explore neural architectures for CLTC; and we move from bi- to multi-lingual word embeddings.
Embedding Individual Table Columns for Resilient SQL Chatbots
Most of the world's data is stored in relational databases.
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media
To this end, we crowdsource and publish a dataset of churn intent expressions in chatbot interactions in German and English.
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings
Spoken language understanding (SLU) systems, such as goal-oriented chatbots or personal assistants, rely on an initial natural language understanding (NLU) module to determine the intent and to extract the relevant information from the user queries they take as input.
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning
The success of the dialogue system depends on the quality of the policy, which is in turn reliant on the availability of high-quality training data for the policy learning method, for instance Deep Reinforcement Learning.
GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining
The dramatic success of deep neural networks across multiple application areas often relies on experts painstakingly designing a network architecture specific to each task.
Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
EmbedRank achieves higher F-scores than graph-based state of the art systems on standard datasets and is suitable for real-time processing of large amounts of Web data.
Dataset Construction via Attention for Aspect Term Extraction with Distant Supervision
Publicly available review corpora contain a plethora of opinionated aspect terms and cover a larger domain spectrum.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets
Our second contribution is a method to automatically construct datasets for ATE.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
Unsupervised Aspect Term Extraction with B-LSTM \& CRF using Automatically Labelled Datasets
Our second contribution is a method to automatically construct datasets for ATE.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
