Readability awareness in natural language processing systems

Patent metadata

Field	Value
Publication number	US-9910912-B2
Application number	US-201614987816-A
Country	US
Kind code	B2
Filing date	Jan 5, 2016
Priority date	Jan 5, 2016
Publication date	Mar 6, 2018
Grant date	Mar 6, 2018

Abstract

Electronic natural language processing in a natural language processing (NLP) system, such as a Question-Answering (QA) system. A receives electronic text input, in question form, and determines a readability level indicator in the question. The readability level indicator includes at least a grammatical error, a slang term, and a misspelling type. The computer determines a readability level for the electronic text input based on the readability level indicator, and retrieves candidate answers based on the readability level.

First claim

What is claimed is:

1. A computer system for electronic natural language processing, comprising:
one or more computer devices each having one or more processors and one or more tangible storage devices; and
a program embodied on at least one of the one or more storage devices, the program having a plurality of program instructions for execution by the one or more processors, the program instructions comprising instructions for:
receiving an electronic text input;
determining a readability level indicator of the electronic text input, wherein the readability level indicator comprises at least one of a grammatical error, a slang term, and a misspelling type in the electronic text input;
determining a readability level of the electronic text input based on the readability level indicator;
generating a plurality of candidate answers for the question; and
selecting a set of candidate answers from among the plurality of candidate answers based on matching readability levels of the set of candidate answers to the readability level of the question.

2. The system of claim 1 , wherein the program instructions further comprise instructions for:
receiving the electronic text input from an electronic input source in response to an input from a user.

3. The system of claim 1 , wherein the program instructions further comprise instructions for:
identifying the electronic text input as a question.

4. The system of claim 1 , wherein the program instructions further comprise instructions for:
parsing the electronic text input using a full parsing process.

5. The system of claim 1 , wherein the program instructions further comprise instructions for:
comparing the readability indicators of the electronic text input with readability indicators of one or more questions in a corpus of questions,
wherein determining the readability level for the electronic text input is based on readability levels of the one or more questions.

6. The system of claim 1 , wherein the program instructions further comprise instructions for:
training a natural language processing model based on results of the comparison.

7. The system of claim 1 , wherein instructions for identifying at least one of a slang term and a misspelling in the electronic text input comprise instructions for identifying, in the electronic text input, one or more of:
an abbreviation of a word corresponding to an acronym associated with the word in a collection of text messaging acronyms; and
a misspelling of the word, wherein the misspelling corresponds to a phonetic reading of the word.

8. A computer program product for electronic natural language processing, comprising a non-transitory tangible storage device having program code embodied therewith, the program code executable by a processor of a computer to perform a method, the method comprising:
receiving an electronic text input, by the computer;
determining, by the computer, a readability level indicator of the electronic text input, wherein the readability level indicator comprises at least one of a grammatical error, a slang term, and a misspelling type in the electronic text input;
determining, by the computer, a readability level of the electronic text input based on the readability level indicator;
generating, by the computer, a plurality of candidate answers for the question; and
selecting, by the computer, a set of candidate answers from among the plurality of candidate answers based on matching readability levels of the set of candidate answers to the readability level of the question.

9. The computer program product of claim 8 , wherein the method further comprises:
receiving the electronic text input, by the computer, from an electronic input source in response to an input from a user.

10. The computer program product of claim 8 , wherein the method further comprises:
identifying, by the computer, the electronic text input as a question.

Assignees

• IBM

Inventors

• Byron Donna K
• Goyal Devendra
• Krishnamurthy Lakshminarayanan
• Santos Moraes Priscilla
• Smith Michael C

Classifications

• G06F16/3344 Primary

  using natural language analysis · CPC title

• G06F40/232 Primary

  Orthographic correction, e.g. spell checking or vowelisation · CPC title

• G06F40/279

  Recognition of textual entities · CPC title

• G06F40/40

  Processing or translation of natural language (natural language analysis G06F40/20; semantic analysis G06F40/30) · CPC title

• G06F40/205

  Parsing · CPC title