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Results tagged with nlp
Search options not deleted user 62846
Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation.
0 votes
Accepted
What can NLI do for a chatbot?
Check out this paper: Dialogue Natural Language Inference. Here is the link: https://www.aclweb.org/anthology/P19-1363
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0 votes
Accepted
For text match problem, what is the different between question-question match and question-a...
You can refer to the paper "A Deep Look into Neural Ranking Models for Information Retrieval" to get more discussion about different matching tasks.
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-1 votes
2 answers
168 views
What can NLI do for a chatbot?
Natural Language Inference(NLI) is the task of predicting the labels(entailment, contradiction, and neutral,) for sentence pairs. People invent a lot of deep model to solve this problem. But I can n …
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1 vote
2 answers
83 views
For text match problem, what is the different between question-question match and question-a...
I know question-question match is a text similarity problem. What about question-answer or question-doc match? It is used in information retrieval. question-question match is indeed text similarity. …
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0 votes
1 answer
488 views
What is the position embedding code?
https://github.com/google-research/bert/blob/master/modeling.py#L491-L520 The code of BERT is one of the implementation. But it is not what I need. I search a lot but can not judge. But where is th …
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1 vote
1 answer
71 views
Why TREC set two task: document ranking and passage ranking
TREC is https://microsoft.github.io/TREC-2019-Deep-Learning/ I am new to text retrieval. Still can not understand why set the two similar task. Thank you very much.
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0 votes
1 answer
141 views
Is it possible to create a rule-based algorithm to compute the relevance score of question-a...
In information retrieval or question answering system, we use TD-IDF or BM25 to compute the similarity score of question-question pair as the baseline or coarse ranking for deep learning. In communit …
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1 vote
0 answers
23 views
In ChatGPT, The difference of using reward to guide policy vs using the dataset of reward to...
In ChatGPT, What are the differences of using reward to guide policy vs using the dataset of reward to train policy?
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0 votes
Accepted
What is the position embedding code?
Here is the code implemented by TensorFlow: Implementation 1: Implementation 2:
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0 votes
1 answer
394 views
What is the reason for the speedup of transformer-xl?
The inference speed of transformer-xl is faster than transformer. Why? If state reuse is the reason, so it is compared by two 32seq_len + state-reuse vs one 64seq_len + no-state-reuse?
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0 votes
Accepted
What is the reason for the speedup of transformer-xl?
For vanilla Transformer language models (Al Rfou et al), you process [1 2 3 4], predict 5, process [2 3 4 5], predict 6, and repeat. For a Transformer-XL language model, you process [1 2 3 4], predic …
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0 votes
Accepted
Are there some research papers about text-to-set generation?
Check out these papers below and google keywords: Multi-label Classification. X-BERT: eXtreme Multi-label Text Classification with BERT HAXMLNet: Hierarchical Attention Network for Extreme Multi-Labe …
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0 votes
1 answer
73 views
Are there some research papers about text-to-set generation?
I have googled but find no results. Text-to-(word)set generation or sequence-to-(token)set generation. For example, input a text and then output the tags for this text: 'Peter is studying English' …
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1 vote
1 answer
536 views
Based on transformer, how to improve the text generation results?
If I do not pretrain the text generation model like BART, how to improve the result based on transformer like tensor2tensor? What are the improvement ideas for transformer in text generation task?
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1 vote
1 answer
263 views
In ChatGPT, what is the difference between Reinforcement-Learning-from-Human-Feedback and Da... [closed]
Reinforcement-Learning-from-Human-Feedback vs TrainingData-Label-Again.
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